We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Advanced 3-D X-Ray Imaging Provides Insight into the Progression of Idiopathic Pulmonary Fibrosis

By MedImaging International staff writers
Posted on 02 May 2016
Print article
Researchers have used a novel and advanced 3D Computer Tomography (CT) imaging technique to follow the development of an aggressive deadly lung disease called Idiopathic Pulmonary Fibrosis (IPF).

IPF is currently diagnosed using 2D CT scans or by taking a lung biopsy in hospital for investigation under an optical microscope. The new technique, originally designed for aircraft engineering, is used to carry out 3D scans of lung biopsy samples at a resolution similar to that of an optical microscope.

The team from the UK National Institute for Health Research Southampton Respiratory Biomedical Research Unit (BRU), University of Southampton (Southampton, UK) used CT equipment at the µ-VIS Centre for Computed Tomography (Southampton, UK) to perform the Microfocus CT scans. The scan technique involves rotating the biopsy sample 360 degrees while making numerous 2D images, which are rendered into detailed 3D images.

The results of the research were published in the April 21, 2016, issue of the journal JCI Insight. The incidence of IPF in the UK is increasing by 5% every year. In 2015 more than 5,000 new cases were diagnosed in the UK. One of the symptoms of patients with IPF, an interstitial lung disease, is difficulty breathing. The disease causes inflammation, and scarring of lung tissue, and patients have a life expectancy of between three and five years.

Lead author of the study, Dr. Mark Jones, University of Southampton, said, “Whilst accurate diagnosis of IPF is essential to start the correct treatment, in certain cases this can be extremely challenging to do using the tools currently available. This technology advance is very exciting as for the first time it gives us the chance to view lung biopsy samples in 3D. We think that the new information gained from seeing the lung in 3D has the potential to transform how diseases such as IPF are diagnosed. It will also help to increase our understanding of how these scarring lung diseases develop which we hope will ultimately mean better targeted treatments are developed for every patient.”

Related Links:
UK National Institute for Health Research Southampton Respiratory Biomedical Research Unit (BRU), University of Southamptonµ-VIS Centre for Computed Tomography
New
Gold Member
X-Ray QA Meter
T3 AD Pro
Wall Fixtures
MRI SERIES
New
Diagnostic Ultrasound System
MS1700C
New
X-ray Diagnostic System
FDX Visionary-A

Print article
Radcal

Channels

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.